1,109 data-"https:"-"https:"-"https:"-"https:"-"https:"-"UCL"-"UCL" Postdoctoral positions in United States
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experiments and data analysis contribute to writing proposals and papers contribute to training and supervision of graduate and undergraduate students Work Schedule varies based on assignment Driving University
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plans; access to U of A recreation and cultural activities; and more! The University of Arizona has been recognized for our innovative work-life programs. For more information about working at
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to Applicants Along with online application, please include contact information for three professional references as well as a current CV. Department Summary The Institute of Molecular Biology (IMB) is a research
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. This notice contains important information about applying for a position at Cornell as well as some of your rights and responsibilities as an applicant. EEO Statement: Cornell welcomes students, faculty, and
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facilities with relevance to critical materials and nuclear reprocessing Analyze data, prepare manuscripts for submission to peer-reviewed publications, prepare technical reports for sponsors, and attend and
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relevant field Experience: No prior experience required Knowledge, Skills and Attitudes: Skill in collecting, organizing, and analyzing data. Ability to recognize, analyze, and solve a variety of problems
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Phenomic prediction programs that incorporates genotype (genotype by sequence) and phenotype data (from traditional and high throughput, remote sensing sources) -Use or develop R programming code to complete
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(contingent on performance and funding availability). The postdoctoral scholar will work in Dr. Jiayi Sun’s group and lead innovative research using new ALMA and JWST data from several large programs
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of mass spectrometry proteomics, including instrument set-up, sample preparation, data acquisition, and data analysis. Experience in preparing human tissues for downstream protein analyses, especially
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variety of cutting-edge research in time-domain astrophysics, including the development and implementation of machine learning, statistical and data-driven algorithms to study exotic transient phenomena